Podcasts about Product management

Send us Fan Mail

Most companies are adopting AI in the wrong order. They start with technology, hand everyone a chatbot, and hope productivity follows. According to Sriram Krishnasamy, that's how you amplify organizational chaos.Sriram led FedEx's DRIVE transformation, which delivered $4 billion in structural cost reductions, and founded FedEx Dataworks, the company's internal data and insights business. Drawing on decades of experience at the intersection of operations, logistics, and digital transformation, he argues that AI isn't just a technology—it's a field. And companies that treat it like a software rollout are missing the point.Join hosts Nick Paladino and Chuck Moxley as they explore Sriram's framework for becoming "AI ready" instead of trying to become "AI native." He breaks down his three-legged stool for transformation: business architecture, experience engineering, and technology. Most organizations start with technology. Sriram believes it should be the last thing you focus on.The conversation dives into how FedEx transformed data from 17 million daily shipments into actionable insights, why companies should chase business value instead of building massive data lakes, and how a predictive model originally designed to optimize network operations helped FedEx achieve a 99.8% service level during the critical COVID vaccine rollout. Sriram also challenges common assumptions about frictionless experiences. The best digital experiences aren't necessarily the most beautiful. They're the ones that understand context and empathy. His favorite example? The Amazon app. Not because of its design, but because it understands his workflow, anticipates mistakes, and adapts to his needs.Key Actionable Takeaways:Start with workflows, not technology – Before deploying AI, define how work actually gets done inside your organization and how your customers accomplish their goals. AI creates the most value when it's applied to well-understood workflows rather than layered on top of existing complexity.Chase business value, not data volume – Most companies don't need massive data lakes before they can create value. Focus on the 20% of data that drives 80% of outcomes, solve a real problem, and expand from there.Become AI ready, not AI native – Don't reinvent your company around AI. Strengthen your existing identity, clarify your goals, understand the people impacted by change, and then apply AI to improve what already makes your business valuable.Want more tips and strategies about creating frictionless digital experiences? Subscribe to our newsletter!https://www.thefrictionlessexperience.com/frictionless/ Download the Five Step Site Speed Target Playbook: http://bluetriangle.com/playbook Sriram Krishnasamy's LinkedIn: https://www.linkedin.com/in/sriram-krishnasamy-ab1679117/ Nick Paladino's LinkedIn: https://linkedin.com/in/npaladino Chuck Moxley's LinkedIn: https://www.linkedin.com/in/chuckmoxley/Chapters:(00:00) Introduction(03:14) FedEx Career Journey(05:35) Building Dataworks(08:24) Data vs Insights(11:20) Operations to Digital(14:03) Vaccine Distribution(19:57) Three-Legged Stool(22:03) Business Architecture(24:25) Experience Engineering(24:49) Technology Last(28:30) $4B Cost Reduction(29:15) AI and Cognitive Clarity(31:13) Corporate Identity(34:10) Becoming AI Ready(35:35) AI and Human Questions(37:15) Technology Tradeoffs(40:20) Frictionless Experiences(42:07) Where to Connect(42:25) Conclusion

Our guest today is Laura Burkhauser, CEO of Descript, the video editor that's been AI-native long before “AI-native” was something you put in a pitch deck. Laura's route to the CEO seat started as a customer. She loved the product enough to knock on founder Andrew Mason's door and ask to work on it. She joined to lead product, but only three years later she's succeeded the well-known founder and is running the company. Today, Laura is here to talk about both sides of that journey: finding peers and mentors when you're suddenly the most senior person in any room, and driving AI adoption across an org already known for AI in its product. In this episode, Laura shares: Her "tech acceptance framework" — the 4 stages from outright hostility to "rewired" — and how to figure out where YOUR team actually sits Why telling IC PMs that AI means 2x productivity just sounds like they're doing twice the work — and her “find the dream” reframe that actually gets real buy-in How Laura built Descript's AI philosophy around one principle: "Struggle with your art, not with your tools" and why she doesn't want anyone one-shotting their videos Plus the trap most companies are falling into right now: AI systems that walk out the door when the person who built them leaves, and how to make progress durable across your org Links LinkedIn: https://www.linkedin.com/in/burkhauser/ Descript: https://www.descript.com/ Resources What Got You Here Won't Get You There: https://www.barnesandnoble.com/w/what-got-you-here-wont-get-you-there-marshall-goldsmith/1112274786 Chapters 00:00 Intro 01:07: Laura's career journey: From fashion startups to finding her path to product 03:26: The "what got you here won't get you there" moment 4:05: Finding peers and mentors when you're the most senior person in the room 12:06: "Struggle with your art, not with your tools" — Descript's AI philosophy 15:04: AI as a derivative technology and the democratization of creativity 17:59: The tech acceptance framework: From hostile to rewired 18:50: Running AI hackathons and reimagining company systems 22:40: Pitfalls of AI adoption: Cost, durability, and automating broken systems 24:42: The two-by-two framework for getting your team AI-pilled 27:49: Conclusion Follow LaunchPod on YouTube We have a YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.Special Guest: Laura Burkhauser.

Some of the best conversations start at a dinner table.Last September, host Langston Clark welcomed product leaders and authors Oji and Ezinne Udezue into his San Antonio home for an intimate gathering. One of the guests that evening was Elisa Cuellar — a listener, entrepreneur, and founder of StorieCue — who walked away from that dinner inspired to stop sitting on her own big idea. That night lit a spark. This episode is the recorded continuation of that conversation.Oji, a former Chief Product Officer at Twitter, Calendly, and Atlassian, and managing partner of the Kernel Fund, and Ezinne, who has driven enterprise transformation at T-Mobile, Discovery Communications, Procore, and WP Engine, are the co-authors of Building Rocketships: Product Management for High Growth Companies. Together, they walk us through what separates builders who scale from those who stall — and why the fundamentals of product thinking matter now more than ever. With Elisa serving as guest co-host, the trio explores customer listening, the Shipyard Model of innovation, AI's role in product development, and what it means to build rocket ships when the infrastructure — and the capital — looks completely different than Silicon Valley. Whether you're a solo founder, a product leader, or someone who knows they have a rocket ship inside of them and just hasn't launched yet — this episode is for you. Topics covered: product management, startup growth strategy, AI tools for founders, customer listening, Shipyard Model, Kernel Fund, innovation in Africa, venture capital in emerging markets, product-market fit, Black tech leadership, entrepreneurship.Support the showhttps://www.patreon.com/c/EA_BookClub

Sam Altman and Dario Amodei both published essays this week on the future of AI and what we must do so everyone benefits. One of them is literally titled "Our Plan." The other one has an actual plan.Kwaku and I dig into it all on this week's FAFO Friday. Plus — and this story isn't getting enough attention — according to New Scientist, two years ago Ukraine used fully autonomous “Terminator” drones that killed everything they saw. No human in the loop. Dead Russian soldiers. But rest assured, according to the drone-maker cited, it was just a one-off “test.” But how long until this is standard practice? And do we want that future? So, yeah, maybe we should get planning… ---Support Future Around & Find Out:* Follow Dan on LinkedIn https://www.linkedin.com/in/dblums/* Get the free newsletter: https://www.futurearound.com* Become a paid subscriber and help future proof FAFO! https://www.futurearound.com/upgradeMusic by Jonathan Zalben

Why does Product Marketing look so different in Europe, and why copying US playbooks often leads to the wrong outcomes?In this episode, I sit down with Rory, Product Marketing Director consultant, with 13+ years of experience in PMM, across top tech companies such as Google, YouTube and Pleo. Europe Isn't Silicon Valley: Together, we unpack what truly shapes Product Marketing in Europe today, and why this context is driving the rise of fractional PMM roles.In this conversation, you'll learn:

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Cristina Cordova, Chief Operating Officer at Linear, the product development system built for teams and agents. Linear raised $82 million in a Series C round in June 2025 at a $1.25 billion valuation. The company has been profitable since 2021, and serves over 20,000 paid business customers, from seed-stage startups to Fortune 100 enterprises, with a team of just 140 people. Before Linear, Cristina joined Stripe as one of its first employees, and led Platform and Partnerships at Notion.What you'll learn:Why keeping headcount intentionally lean is a strategic advantageReplacing traditional interviews with paid two to five-day projectsWhy PMs are the fastest-growing power users of agentic toolsKey takeaways:A small team is not a small business. Revenue, customers, and growth rate matter more than headcount.If you fully delegate your AI thinking, you lose your native understanding of how these products actually workAgentic workflows are now the default, not a feature. The companies that treat them that way will pull ahead.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Cristina CordovaSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

The damage from your Q1 goal doesn't show up until Q3, on someone else's dashboard, after the person who flagged it got fired.Part 2 of the Outcome Trap series. Brian and Om argue why you can't see the trap from inside it: second-order effects land too late to trace, the people who spot trouble get removed, and the truth fractures across team dashboards until nobody owns the whole picture. By the end you'll have questions to ask before any number you set quietly destroys the business.Listen or watch as we discuss and debate:Why Goodhart's Law turns every new leading indicator into another surface to gameHow Sears split into 40 competing units and imploded while every department hit its OKRsThe Wells Fargo whistleblower fired for 'tardiness' eight days after calling the ethics hotlineWhy Deming's 1986 warning to eliminate numerical goals got ignored for forty yearsTwo questions to ask before setting any targetIf you've ever been in a company where every conceivable metric was green while the business slowly bleed out, this podcast is for you!.#OKRs #Deming #GoodhartsLawW. Edwards Deming (Out of the Crisis, The New Economics), Goodhart's Law, Peter Senge The Fifth Discipline, The People's Republic of Walmart, Sears (Eddie Lampert), Wells Fargo (Bill Bado), Frances Haugen Facebook testimony, Careless People by Sarah Wynn-WilliamsLINKSYouTube: https://youtu.be/BuWgxH8VpRISpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

This time we're diving into a problem almost every product team has felt but rarely names: all the customer research you've already done… and then quietly forgotten. In this episode, Jacob Burghardt joins Matt and Moshe to talk about his new book Stop Wasting Research: Maximize the Product Impact of Your Organization's Customer Insights and how to turn research from a one‑off activity into a real product asset.Drawing on his path from early dot‑com research and UX work through consulting and a principal PM role at Amazon, Jacob shares why teams keep re‑running the same studies, ignoring past insights, and treating “research” as a meeting on the calendar instead of an input into every major decision. His book offers a big‑tent definition of research, which includes UX, market, data science, CS insights, and more, and a practical playbook for making all of it usable, visible, and integrated into product work.Join Matt and Moshe as they explore with Jacob:How he moved from hands‑on research and design into product management, and why he stayed obsessed with the problem spaceWhat “research” really includes today (far beyond user interviews or dashboards)Why so much research gets wasted and the three root causes behind it:Research isn't prepared for future useStakeholders aren't motivated to careInsights aren't integrated into planning, processes, or leadership ritualsA step‑by‑step structure from the book:Taking inventory of the research you already haveDiagnosing root causes in your orgChoosing from a “menu” of tactics that fit your contextWhat good looks like: strong operating models, clear places for research to plug in, and researchers treated as builders of internal productsHow smaller orgs without Product Ops can get started: simple visibility, mapping who's doing what research, and basic communication channelsThe link between org mindset (feature factory vs. empowered teams) and how seriously research is usedPractical ideas for connecting research to go‑to‑market, pricing, packaging, CS, and sales enablementHow AI is changing the research landscape, where it helps and where human judgment is still essentialAnd much more!Want to learn more or get the book?Book: https://rosenfeldmedia.com/books/stop-wasting-researchIntegrated Research: https://www.integratingresearch.com Medium: https://medium.com/@jakeburghardt LinkedIn: https://www.linkedin.com/in/jakeburghardt You can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproductMoshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

In this episode, Nithiya Parameswaran, VP of Product Management at Emerson | AspenTech, discusses how Industrial AI is reshaping Asset Performance Management, moving it beyond traditional monitoring toward predictive insights, faster maintenance action, and greater scalability across the enterprise.

Rajiv Pant thinks of AI as an Iron Man suit for the mind. Something you put on. That you fuse with. That takes you to greater heights — but could also make you incredibly dizzy and be very dangerous if you, the human, don't stay in control of it.Rajiv sees successful collaboration with AI as a “synthesis.” And to that end, he's building a series of skills and methodologies for synthesis engineering, coding, writing and project management. In this episode, Rajiv explains why synthesis engineering is a kind of middle ground between vibe coding and agentic engineering. It's a method for human-AI collaboration that helps builders go faster while not falling into the trap of letting AI do the things we humans ought to own. i.e. The architecture. The judgment. The thinking and learning. Rajiv is an engineering and product leader with deep experience in media. He's held senior roles at the Wall Street Journal, Hearst, and the New York Times (where he and I first met). Today he's the president of Flatiron Software. Rajiv has open-sourced all of his Synthesis methodologies and he and I also discuss why open source is so important as we increasingly turn to AI to sharpen our thinking. Can we really trust a system we don't understand? Would Tony Stark have trusted his suit if he didn't know how it was built? Chapters:(00:00) - Iron Man suit for the mind (02:11) - What goes wrong when you vibe code into production (04:20) - What synthesis coding looks like hands on keyboard (05:40) - What AI code slop looks like (08:30) - The unexpected joy of managing a team of agents (11:00) - Using AI as a thinking partner without outsourcing your thinking (15:30) - How a non-programmer built a better version of his own software (18:15) - Is your use of AI making you dumber? (23:26) - Trusting AI when it's a black box (27:11) - If Tony Stark owned your suit, would you trust it? (28:26) - What AI does to the economics of open source Support Future Around & Find Out:* Follow Dan on LinkedIn https://www.linkedin.com/in/dblums/* Get the free newsletter: https://www.futurearound.com* Become a paid subscriber and help future proof FAFO! https://www.futurearound.com/upgrade

Marty Cagan joins Carmen Palmer for this episode in our monthly series, In The Lead. Marty is a renowned product executive and author, and is widely considered a thought leader in the field of Product Management. He is the founder of the Silicon Valley Product Group (SVPG), where he advises companies on how to create successful products using the practices of world-class tech organizations. Marty is the author of influential books on the topic of product management and product teams including Inspired: How to Create Tech Products Customers Love Empowered: Ordinary People, Extraordinary Products.Transformed: Moving to the Product Operating Model Recently Marty and the team at Silicon Valley Product Group (SVPG) have been exploring the use of AI LLMs as product coaches. As always Marty has strong views on the adoption of AI technology enabling true product builders, the increasing importance of true empowered product managers, and how AI Models can assist in the transition by coaching PMs and Product Leaders..In The Lead is a monthly series on Product Rising sharing thought provoking conversations with a wide range of industry leaders hosted by Carmen Palmer, CEO of Women In Product. Your AI Product Coach00:00 Reckoning for Product03:11 GenAI Changes the Stakes07:11 Feature vs Empowered Teams09:57 Build to Learn vs Earn12:18 Prototyping Tools Boom13:37 New PM Litmus Test16:05 Why Coaching Fails20:57 AI Coaching Tipping Point23:58 Prompting for Product Model27:30 Load Strategic Context28:19 Strategic Context Inputs29:23 Project Model Prompts30:52 AI Coaching Limits34:58 Why Humans Still Matter38:42 What Coaching Looks Like39:25 Building Product Sense Fast42:01 Frameworks For Real Work45:23 Adoption Curve Reality49:13 Career Advice And Wrap

In this episode, we sit down with Daniel Thulfaut, Head of Product at saas.group, one of Europe's most active SaaS acquirers. With 24 companies in the portfolio and more than €100M in ARR, Daniel has a unique perspective on how product organizations are evolving in the age of AI. We discuss why many product managers have spent the last decade acting as backlog managers rather than true product leaders, and why AI is now forcing a return to the fundamentals of product management: customer understanding, strategic thinking, prioritization, and decision-making. We also explore why "good enough" products are becoming easier than ever to build, why that raises the bar for SaaS companies, and what legacy SaaS businesses must do to stay competitive against a new generation of AI-native startups. Topics we cover include: • Why the traditional product manager role is changing rapidly • The difference between backlog management and real product leadership • Why AI makes customer discovery more important, not less • Why legacy SaaS companies struggle to realize the promised 10x AI productivity gains • The rise of the "product engineer" and what it means for teams • How feature flags, experimentation, and faster feedback loops change product development • Why shipping more features is not the same as creating more value • What CEOs and CPOs should do right now to prepare their product organizations for the future • Why understanding customer problems remains the most valuable skill in product management One of the most interesting takeaways from the conversation is that AI is not replacing product thinking. If anything, it's making it more valuable. When building becomes easier, deciding what to build becomes the real competitive advantage. If you're a founder, CEO, CPO, product leader, or anyone trying to navigate the future of SaaS, this episode is packed with practical insights and plenty of food for thought.

This episode features Geoffrey Mattson, CEO of SecureAuth, joined by co-host Sarah Cicchetti, Director of Product Management at Semperis.Geoffrey has spent decades building and leading companies at the intersection of AI and cybersecurity, including MistNet.ai, an AI-native threat detection platform acquired by LogRhythm, and Xage Security, where he drove zero trust adoption across the U.S. military, global energy firms, and Fortune 500 enterprises. At SecureAuth, he leads a platform built around continuous, real-time identity authority across workforces, APIs, and AI agents.In this episode, Geoffrey argues that agents combine the speed of automation with the unpredictability of humans, making real-time per-action authorization the only viable control model. He discusses why “friendly fire” from well-meaning employees is the biggest threat vector right now, how MCP vendors are ignoring their own OAuth spec, and what a practical agent rollout with real guardrails actually looks like.This episode reframes authorization as the problem the identity industry has been deferring for years and can no longer avoid.Guest Bio Geoffrey Mattson is a serial entrepreneur and globally recognized cybersecurity and AI executive with decades of experience building market-defining companies and technologies that protect the world's most critical systems.He is currently CEO of SecureAuth, a leader in AI-driven identity and access management with its Continuous Authority, ensuring ongoing verification across workforces, customers, APIs, and AI agents. This is enabled through its Private Authority Platform, which puts authentication and authorization under your control through any deployment model (cloud, on prem, hybrid, air-gapped).Prior to SecureAuth, Mattson served as CEO of Xage Security, where he led the company in Zero Trust for critical environments from energy to agentic AI. Under his leadership, Xage achieved rapid adoption across the U.S. military, global energy firms, and Fortune 500 enterprises.Previously, Geoffrey Mattson was co-founder and CEO of MistNet.ai, an AI-native threat detection platform acquired by LogRhythm. He pioneered decentralized analytics and machine learning approaches for real-time cyber defense, and later served as SVP of Product at LogRhythm, driving global expansion and shaping the next generation of SIEM/SOAR solutions.Earlier, he held senior executive roles at Juniper Networks, overseeing a $2B product portfolio and leading major M&A efforts, and at Huawei Technologies as SVP and CTO for networking and data center platforms. His engineering leadership at Corona Networks, Caspian, and Bay Networks helped build foundational technologies in network and security architecture.Guest Quote “With agents, you have the power and the speed of an automated process with the unpredictability of a human. And in fact, we are seeing their behavior and their psychology makes them even perhaps less predictable than a human.”Time stamps 01:45 Meet Geoffrey Mattson: Serial Entrepreneur and Cybersecurity Executive 02:40 Why Identity Is Having a Moment 08:40 Defining Agent Identity 12:15 Behavioral Guardrails for Agents 14:37 Agent Identity Lifecycle 17:36 Just-in-Time vs. Standing Privilege 18:02 C-Suite Pressure and Friendly Fires 21:00 When Agents Live Off the Land 26:12 MCP, OAuth, and Token Pitfalls 28:04 Threat Models and Rollout Strategy 30:13 LLMs and Policy Authoring 31:23 Conclusion and Final ThoughtsSponsor The HIP Podcast is brought to you by Semperis, the leader in identity-driven cyber resilience for the hybrid enterprise. Trusted by the world's leading businesses, Semperis protects critical Active Directory and Entra ID environments from cyberattacks, ensuring rapid recovery and business continuity when every second counts. Visit semperis.com to learn more.LinksConnect with Geoffrey on LinkedInConnect with Sarah on LinkedInConnect with Sean on LinkedInDon't miss future episodesLearn more about Semperis

AI Won't Kill Websites or Email; It Will Transform ThemIn this clip, Adam Harmetz, VP of Product Management at Microsoft, shares a balanced perspective on AI's impact on digital experiences

It's that time of year, muzzle time. We speak with Kara Robinson of GG Equine about when and why you should be using a muzzle with your horse/pony/mini. Coach Jenn tells us about a chew stop that finally worked for James and Jamie does her annual lesson on training for the 4th of July. Listen in….HORSES IN THE MORNING Episode 3967– Show Notes and Links:Hosts: Jamie Jennings of Flyover Farm and Glenn the GeekJamie and Glenn's Amazon StoreTitle Sponsor: WERM FlooringPic Credit: GG EquineGuest: Kara Robinson, Director of Product Management & Customer Success, GG EquineGuest: Coach Jenn of Horse Tip Daily on Rap Last, chew stop that actually worksSponsor: ClariFly LarvicideAdditional support for this podcast provided by: Equine Network and Listeners Like YouTime Stamps: 02:02 - Belmont recap & Golden Tempo04:41 - Daily Whinnies07:18 - Tick bites & health chat12:05 - Screwworm outbreak & sterile flies15:21 - Kara from GG Equine: why muzzles23:40 - Muzzle fit, sizes, inserts & coupon30:36 - Chewing problems & Rap Last39:26 - Fireworks training with balloons

It's that time of year, muzzle time. We speak with Kara Robinson of GG Equine about when and why you should be using a muzzle with your horse/pony/mini. Coach Jenn tells us about a chew stop that finally worked for James and Jamie does her annual lesson on training for the 4th of July. Listen in….HORSES IN THE MORNING Episode 3967– Show Notes and Links:Hosts: Jamie Jennings of Flyover Farm and Glenn the GeekJamie and Glenn's Amazon StoreTitle Sponsor: WERM FlooringPic Credit: GG EquineGuest: Kara Robinson, Director of Product Management & Customer Success, GG EquineGuest: Coach Jenn of Horse Tip Daily on Rap Last, chew stop that actually worksSponsor: ClariFly LarvicideAdditional support for this podcast provided by: Equine Network and Listeners Like YouTime Stamps: 02:02 - Belmont recap & Golden Tempo04:41 - Daily Whinnies07:18 - Tick bites & health chat12:05 - Screwworm outbreak & sterile flies15:21 - Kara from GG Equine: why muzzles23:40 - Muzzle fit, sizes, inserts & coupon30:36 - Chewing problems & Rap Last39:26 - Fireworks training with balloons

President Trump signed an executive order this week that “voluntarily” invites AI makers to share their most advanced models with the government thirty days before a wider release. Specifically, the NSA will be reviewing these models for cybersecurity threats. So what's this executive order mean for AI regulation? How voluntary is this really? Do we want the NSA involved? And what other forms of review may come next? And, related: NOTUS reports that federal officials are in talks with Sam Altman and other AI leaders about the US government stock in these companies. This comes as Sen. Bernie Sanders on the left and Steve Bannon on the right are both calling for the government to own 50% of the AI companies, with the American people getting dividends. So, should the government be regulating AI? Should it own AI? And should it both regulate and own AI? It's strange bedfellows all around…Kwaku and I get into on the latest FAFO Friday. Plus, we explore the concept of “cognitive uploading,” which Google NotebookLM's co-founder Steven Johnson divined in this week's interview (and subsequently blogged about). As we work with AI, we need to draw lines on what we will task it with and what we won't. And the lines are all over the place right now, which is a perfect jumping off point to future around and find out… ---Future Around & Find Out newsletter and more: https://www.futurearound.comMusic by Jonathan Zalben

Product managers are FORGETTING that they're problem solvers. Today, we're talking to Marty Cagan, product management author and founder of the Silicon Valley Product Group. We discuss why most tech companies are unknowingly running a model that almost guarantees shipping things that don't matter, how AI is simultaneously exposing and accelerating that problem, why the real bottleneck was never your engineers, and how large language models might finally solve the product coaching gap that's held back a generation of product people. All of this right here, right now, on the Modern CTO Podcast!  To learn more about Marty, connect with him on LinkedIn.

Traditional Product Management Is Ending in 2026For years, product management followed a familiar playbook.Gather requirements. Write PRDs. Prioritise backlog. Run sprint rituals. Coordinate across teams. Ship features.That model worked in a world where building software was slow, expensive, and engineering bandwidth was the biggest constraint.But in 2026, that world is changing fast.AI is reducing execution time. Prototypes can be built in hours. Research can be synthesized in minutes. Code generation is accelerating delivery. Design iterations are faster than ever.Which means something important is happening:Traditional product management, built around coordination and process, is losing relevance.And a new version of product management is taking its place.How to connect with AgileDad:- [website] ⁠⁠⁠https://www.agiledad.com/⁠⁠⁠- [instagram] ⁠⁠⁠https://www.instagram.com/agile_coach/⁠⁠⁠- [facebook] ⁠⁠⁠https://www.facebook.com/RealAgileDad/⁠⁠⁠- [Linkedin] ⁠⁠⁠https://www.linkedin.com/in/leehenson/

How the 90s favorite $4 billion bookstore chain sleepwalked into bankruptcy...

We talk to Dave MacKinnon, VP of Product Management for Clear-Com about their latest intercom solutions that will be at booth N7005 at the show. We also discuss how scalable these solutions can be, from hundreds of points to smaller venues.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

// Le 2 juillet prochain à Paris, rejoignez Diffly, Lucca, Tomorro, Crossbeam, Partoo, Advizeo, Skillup et 100+ leaders Sales, Marketing & Product pour une après-midi dédiée aux nouvelles dynamiques de décision B2B, à l'impact de l'IA dans les équipes Revenue et aux insights qui font vraiment la différence sur vos deals. Réservez votre place ICIC'est 100% gratuit (mais place limitées !) //Recruter un PMM, est souvent perçu comme un “nice to have”. Mais à quel moment cela devient une nécessité pour structurer sa stratégie marketing et accélérer la croissance ?Olivia Jorel, CMO chez Trainme, partage les coulisses de la structuration de son équipe marketing et les raisons qui l'ont poussée à créer un premier poste de PMM.Elle revient sur un contexte initial avec un marketing peu structuré et très cloisonné avec les sales, jusqu'à la mise en place d'une organisation plus alignée et orientée performance. Dans cet échange, Olivia nous explique :

Summer heat can be tough on RVs.If you've ever wondered why your RV air conditioner struggles to keep up, why your refrigerator doesn't seem as cold as it should be, or what you can do to improve performance during hot-weather camping, this episode is for you.Mike and Jennifer welcome Will Troyer, Director of Product Management for GE Appliances' Recreational Living Division, for an in-depth conversation about RV cooling systems.Will explains how RV air conditioners and refrigerators work, why they perform differently than residential appliances, and what RVers can do to stay comfortable and keep food safe when temperatures climb.Along the way, Mike and Jen answer listener questions, share practical summer RV tips, and announce the release of their brand-new North Carolina RV Travel Guide.You'll come away with useful, actionable advice that can help make your summer travels cooler, safer, and more enjoyable.Free Daily RV Newsletter:RVLifestyle.com/newsletterNorth Carolina RV Travel Guide:RVLifestyle.com/NorthCarolina

Anthropic just closed a $65 billion Series H round at a valuation approaching one trillion dollars — and has crossed $30 billion in annualized revenue, driven largely by enterprise demand. Claude Code alone became generally available in May 2025 and reached $2.5 billion in annualized revenue in February 2026, with that figure more than doubling since the beginning of 2026. Meaghan Choi, Head of Design for Claude Code and Cowork at Anthropic, was in that room. This conversation goes inside the operating model behind that growth.What you'll learn:Claude Code's evolution from an internal feature into one of the fastest-growing revenue products in historyAnthropic's secret sauce to shipping products at an incredibly high cadence while ensuring qualityHow product teams get structured into small pods of 5 AI Builders and a fleet of agents, where non-engineers ship code into productionDriving enterprise adoption through PLG from technical teamsHow organizations can measure AI ROI beyond AI adoption and token usageDesigning user interfaces for agentic capabilities, including CLIKey takeaways:Titles and role boundaries matter less than contribution. At Anthropic, designers ship code and engineers design, and the pod owns the output collectively.Quality gates have moved downstream. The richest product learnings come from working software, not from reviewing mocks or PRDs.Managing a team now means managing both people and a fleet of AI agents. The skills are more similar than they appear.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Meaghan ChoiSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Episode SummaryIn this season premiere of Lessons in Product Management, John Fontenot introduces a new direction for the podcast - one focused on the intersection of artificial intelligence, product management, go-to-market strategy, product-market fit, and organizational alignment.While AI is transforming how products are built and launched, many organizations are discovering that faster execution doesn't automatically lead to better outcomes. In fact, AI often exposes existing weaknesses in strategy, communication, and cross-functional alignment. This episode introduces the concept of the Product-Market Gap: the disconnect between what organizations build, what customers need, and how products are brought to market.John shares why this gap exists, how AI is amplifying it, and why the future belongs to organizations that can align product, marketing, sales, and operations around a common understanding of customer value. Throughout this season, listeners can expect conversations on AI product management, product-market fit, go-to-market execution, category creation, product marketing alignment, product operations, and the evolving role of the modern product leader.Whether you're a product manager, founder, product marketer, GTM leader, or executive navigating the AI era, this season will provide practical lessons and strategic insights for building products, and organizations, that can thrive in a rapidly changing landscape.

The thing everyone agrees is the right way to work has quietly produced some of the worst corporate ethics violations in modern history.Product Manager Brian Orlando and Enterprise Business Agility Leader Om Patel discuss and debate how outcome-based goals can and often do go catastrophically wrong - from Facebook to Wells Fargo - and introduce a stakeholder outcome mapping tool you can use immediately.Listen or watch to understand:How outcome-based OKRs quietly enable the worst ethics failuresThe invisible gorilla experiment which illustrates how goals function as mental blindersThe headlines test for stress-testing your goalsA stakeholder outcome mapping exercise to surface hidden tradeoffsWhy the system doesn't need evil people - just good people with bad incentivesThis podcast is for anyone who is looking to understand how the efforts of well-meaning and "not-evil" people can and often does go off the rails. It may also be tangentially useful to leaders who are tired of pretending outcome goals are automatically ethical... but you first must WANT to change....and if you do like this one, get ready for a Part 2 next where we'll discuss WHY the damage from outcome-based goals is often invisible until it's too late, why organizations systematically destroy whistleblowers, and what Deming figured out decades ago that the tech industry still ignores!#ProductEthics #OKRs #ProductManagementState of Product 2026 by Atlassian, Careless People by Sarah Wynn-Williams, Facebook's Ethical Failures Are Not a Bug They Are a Feature by Betty (2021), Invisible Gorilla Experiment, Locke and Latham Goal Setting Theory, DemingLINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

At Cisco Live, I sat down with Papi Menon, Vice President of Product Management at Outshift by Cisco, to explore one of the most ambitious ideas emerging in the AI world today. While much of the industry remains focused on larger models and individual AI agents, Outshift is asking a different question. What happens when millions of AI agents need to collaborate across organizations, platforms, and industries? Papi joined me to explain the thinking behind Outshift, Cisco's emerging technology and incubation group, and the work they're doing to help shape the next era of AI. Our conversation explored concepts such as the Internet of Agents, the Internet of Cognition, and AGNTCY, an open-source initiative designed to create the foundations for agent-to-agent collaboration at scale. We discuss why connecting AI agents is only the first step, why shared intent and shared context could become as important as connectivity itself, and how organizations may need entirely new infrastructure to support an increasingly agent-driven future. Papi also shares his perspective on the challenges of interoperability, governance, trust, and security as AI systems become more autonomous and interconnected. The discussion moves beyond today's AI headlines and into the bigger questions facing the technology industry. If the internet connected people and systems, what infrastructure will be needed to connect intelligence itself? And what role can open standards play in ensuring that future remains collaborative rather than fragmented? Whether you're a technology leader, developer, strategist, or simply curious about where AI is heading next, this conversation offers a fascinating glimpse into how Cisco is thinking about the future of agentic computing and the foundations that may underpin the next major platform shift in technology. How do you think AI agents will collaborate in the future, and should that future be built on open standards or closed ecosystems?

How a Unified Communication System Empowers Employees and Delights Customers  Shep interviews Damon Covey, General Manager of Unified Communications and Collaboration at GoTo. He talks about the importance of tailored, unified communication systems that reduce friction for both employees and customers.  This episode of Amazing Business Radio with Shep Hyken answers the following questions and more:    What advantages do unified communications bring to customer service?  How does integrating multiple channels enhance customer experience?  Why is minimizing friction important for trust and loyalty in service?  What are the disadvantages of generic versus tailored communication tools?  How can automation and AI improve customer support interactions?  Top Takeaways:    The "swiveling chair" problem hurts both customers and employees. Integrating all communication channels into a unified system prevents employees from constantly switching between programs, improving their workflow and eliminating unnecessary friction for customers.   Employees can't provide amazing customer service if they are using slow, broken, or outdated systems. Most of the time, customers are frustrated not because of the person helping them but because of the tools that make solving the problem more complicated.  Fragmented experiences erode customer trust. Whenever a customer has to repeat themselves or start over every time they switch between modes of communication (chatbot, email, phone, etc.), trust drops. Unified systems provide smooth experiences where the next agent knows what happened before and the best tools to help the customer are within easy reach.  Follow the journey that your customers prefer. Businesses need to adapt their communication channels and technology based on what their customers actually want to use. Meet the customers where they are, whether through traditional phone calls, emails, or digital messaging.  Plus, Shep and Damon discuss generational preferences in communication and how unifying these options can improve the customer experience. Tune in!  Quote:   "If you're building everything for everyone, you're special for no one."  About:    Damon Covey is the General Manager of Unified Communications and Collaboration (UCC) at GoTo. Before joining GoTo in 2021,  he served as Vice President of Product Management at Cox Automotive and spent 14 years in leadership roles at cybersecurity company Symantec.  Shep Hyken is a customer service and experience expert, New York Times bestselling author, award-winning keynote speaker, and host of Amazing Business Radio.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Steven Johnson dreamed of building the ultimate research assistant. Now he's doing just that at Google, where he's the co-founder and editorial director of NotebookLM.It's one of the most interesting AI products out there. It radically changes how we learn, research, and remember — and the "notebook" itself is becoming a standard unit of knowledge across Google, rolling out in more and more places where AI needs to reference a body of sources.In this episode, the author of _Where Good Ideas Come From_ explains how AI is making him a better researcher and writer — and why tools like NotebookLM are so powerful when you're trying to make new connections, remember what you've already found, and figure out what's missing.There's a lot of fear right now that AI is making us dumber. That by relying on it too much, we're engaging in "cognitive offloading" and stunting our learning. That's a real risk, especially in schools.But Steven says we should also be talking about what you can gain from AI — and the power of something he calls "cognitive uploading."Resources:* Google NotebookLM: https://notebooklm.google/* Steven Johnson: https://stevenberlinjohnson.com/Support Future Around & Find Out:* Follow Dan on LinkedIn https://www.linkedin.com/in/dblums/* Get the free newsletter: https://www.futurearound.com* Become a paid subscriber and help future proof FAFO! https://www.futurearound.com/upgrade(00:00) - If you are interested in truly understanding something, this is the greatest time to be alive (01:25) - Steven's controversial NYT piece and the cold call from Google Labs (02:55) - Who NotebookLM's power users are (04:40) - The notebook as a new format for knowledge (06:20) - Featured notebooks: earnings reports, Shakespeare, and Dungeons & Dragons (11:00) - Writing a book about the Gold Rush with NotebookLM (13:20) - Four weeks of research in 14 minutes (16:30) - Following serendipitous connections through the source material (17:50) - Cognitive offloading and the illusion of understanding (21:00) - How Steven actually writes with AI (24:30) - Paragraph by paragraph: a new kind of writing (26:55) - Do readers need to know AI helped write it? (28:55) - Where good ideas come from in the age of AI (31:56) - Searching the negative space (33:56) - The adjacent possible: custom software for everyone (37:01) - NotebookLM for nonprofits and small organizations (39:06) - Tens of thousands of quotes, 25 years of forgetting (40:56) - "It's cognitive uploading"

The conversation around AI in education is changing fast, and the latest GSV Learning and Earning Forecast now identifies trust as the factor that will determine the near-term future of AI in the classroom. In this episode, we explore the “AI trust gap” forming between the people racing to expand AI in schools and the educators, parents, and students who are starting to push back. Through discussions with educators, school leaders, learning science researchers, analysts, ed tech developers, AI vendors, and non-profits across the community, we zoom in on the hard questions surrounding AI's future in education. What happens when innovation starts moving faster than trust? What is required to bridge the gap? Who is working on solutions? What's working? Sources: Forecast for Learning & Earning in 2025-2026 | Digital Promise | Learning Commons | Surgeon General's Office Advises Schools to Limit Screen Time | Teachers and parents weigh benefits and risks of artificial intelligence in schools | Do AI's risks outweigh the benefits for students and schools? | Fostering Trust in the Age of AI | GSVtv | The Next AI Maturity Curve – Orchestration, Trust, and Scale | AI is Air: Ambient AI in Every Breath, Step, and Swipe | GSVtv | Lincoln High students swap screen time for study time after phone ban | How to Choose Safe and Effective Classroom Technology | More Students Boo AI at Commencement Nick Melvoin, a Los Angeles Unified School District (LAUSD) board member who recently drafted a resolution to restrict student screen time in classrooms. Sandra Liu Huang, Head of Education & Product at CZI and president of Learning Commons. Jean Claude Brizard– President and CEO of Digital Promise. Jeremy Roschelle– Executive Director of Digital Promise's Learning Sciences Research team. Melissa Loble, Chief Academic Officer, Instructure. Patrick Gittisriboongul, Ed.D., Superintendent of Lynwood Unified School District. Justin Reich, Director of Teaching Systems Lab at MIT. Jennifer Lee Partner GSV Ventures. Muktha Ananda– Google's Director of Engineering. Robert Wong, Google's Director of Product Management. Brian Carslon, CEO, Storytime AI.Tim Sanders, Chief Innovation Officer at G2 and Executive Fellow at Harvard. Chris Hamatake, parent. Rebecca Winthrop, Senior Fellow and Director of the Center for Universal Education at Brookings. Dr. Eugene Kim, Professor of Education at Concordia University.

One frustrating thing about hospitality: guests want to research rooms visually, but most hotel websites don't include video. When hotels force guests to imagine a room, they simply move on. So I talked with Jason Craparo, CEO of hovr, and Ethan Wiseman, VP of Product Management at aven hospitality, about what hotels can do right now to fix that disconnect.

Meet Inovalon at HFMA 2026 in booth 131 On this episode Tom sits down with Michael Dale, Director, Product Management at Inovalon, a company that delivers a fully connected revenue cycle spanning from patient access through final remittance for all payers. The result is a revenue cycle that doesn't just process claims, it comes together to prevent denials, recover missed revenue, and speed up cash flow. Michael shares insights on why they participate at HFMA conferences and what to see in their booth. To stream our Station live 24/7 visit www.HealthcareNOWRadio.com or ask your Smart Device to “….Play Healthcare NOW Radio”. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

In this episode, we explore how professional services organizations can reduce project unpredictability by closing the gap between scoping, pricing, and delivery. Banoo sits down with Anish Udayakumar, Senior Vice President of Product Management and Customer Experience at Provus, for a thoughtful conversation on why projects that start with strong plans and healthy margins often end up facing scope creep, resource constraints, margin erosion, and delivery risk.Topics discussed in this episode include:Why margin erosion often goes unnoticed until late in the project lifecycleHow disconnected sales, delivery, operations, and finance workflows create unpredictable outcomesWhy resource availability, skill alignment, and capacity planning should be incorporated earlier in the quoting processHow unified data, AI, and historical project insights can improve scoping accuracy, pricing confidence, and delivery predictabilityLearn more about Provus at https://provus.ai/ Hosted on Acast. See acast.com/privacy for more information.

The Pope's encyclical on AI has a direct message for builders: every design choice reflects a vision of humanity. He's calling on developers to "disarm" AI — to resist the race for dominance and ask whether we're actually building a future worth having.On the latest FAFO Friday, Dan and Kwaku dig into the encyclical, plus two big moves to restrict AI in schools: the American Federation of Teachers calling for drastic cuts to screens and AI chatbots, and UC Berkeley Law School banning nearly all AI use. Also: Wharton's Ethan Mollick on "cognitive surrender" — and why the goal isn't to avoid AI, but to be intentional about what you hand over and what you keep for yourself.---Future Around & Find Out newsletter and more: https://www.futurearound.comMusic by Jonathan Zalben

In this episode of the Scrum.org Community Podcast, Dave West is joined by Tony Hinkley, Chief Technology Officer for Avanade UK. Tony brings a rare combination of perspectives: seasoned engineer, Professional Scrum Trainer, and senior technology leader helping some of the world's largest organizations navigate AI adoption. Together, Dave and Tony dig into what AI is really doing to product teams, Scrum practices, and knowledge work at large. This is an honest, experienced, and energizing conversation about where we are, where we're headed, and what it means for everyone who cares about delivering value professionally and sustainably.Key TakeawaysAI has disrupted professional services more than almost any other sector because knowledge, the core asset of consulting and IT services, is rapidly becoming a commodity. That's a wake-up call for all knowledge workers.Scrum Teams are seeing real productivity gains from AI  but those gains have moved the bottleneck. It's no longer about how fast developers can write code. It's about the quality of intent, requirements, and context being handed to the tools.The principles behind Scrum haven't changed but how you implement them must. Your Definition of Done, for example, may now be enforced by an agent rather than a person. Are your standards clear and documented enough for that to work well?Specialists get significantly better results from AI than generalists. First-principles thinking, clean code habits, and a strong sense of what "good" looks like are more valuable now than ever, not less.Context is the new currency. Giving AI tools access to well-structured, well-governed organizational data and standards will unlock far more value than simply upgrading to the latest model.Leaders face a real choice: use AI to cut costs, or use it to grow. Tony's strong recommendation is to invest freed-up capacity into the parts of your product organization that have always been under-resourced, strategy, ideation, stakeholder engagement, and product thinking.Data governance isn't a dirty word anymore, it's a competitive advantage. Organizations that get serious about data quality, classification, and security will be the ones that get the most from AI. Garbage in still means garbage out, and the consequences are bigger than ever.Mid-market companies should pay close attention. AI is leveling the playing field in a meaningful way, giving smaller organizations the ability to punch well above their weight in product delivery.If you're feeling uncertain about your place in an AI-enabled world, start by embracing the tools. As Tony puts it: AI won't take your job, but someone who knows how to use it well might.

Understand how to close the gap between AI experimentation and enterprise production. Shub Agarwal, Founder of the AI Trust Lab at USC and author of Successful AI Product Creation: A Nine-Step Framework, shares his AI product management framework for taking enterprise AI strategy from demo to production, drawing on two decades of product leadership at Amazon and Fortune 50 firms. He breaks down why experimentation must tie directly to business OKRs, the four mindset shifts leaders need to scale AI responsibly, and how the AI Trust Lab is building a benchmark evaluation framework for AI model trust and governance. Key Moments: Why 80% of AI Projects Never Reach Production (02:13): Shub traces the root cause of stalled AI programs to a missing system for moving from demo to deployment. Most teams have no repeatable path to production. Shub's Nine-Step Framework for Building AI Products (06:00): Most AI projects start with a cool model instead of a painful problem. Shub walks through the three phases of his framework: discovery, execution, and excellence. The Case Against "Fix Your Data First" (12:41): Conventional wisdom says clean your data before building AI. Shub challenges that, arguing modern LLMs offer far more flexibility with imperfect data. Four Mindset Shifts for Scaling Enterprise AI (16:35): Shub outlines the four shifts separating organizations that scale AI from those that stall, from measuring AI performance differently to embedding trust from day one. Inside Shub's AI Trust Lab at USC (23:54): Major foundation models are already being benchmarked on trust and safety. Shub explains the lab's mission to build a standardized evaluation framework for AI model governance. Why Enterprise AI Governance Needs Multiple Disciplines (28:36): AI models can be sycophantic, manipulative, or lack candor. Shub argues that building trustworthy AI demands an interdisciplinary approach. Key Quotes: “I think the fundamental problem that organizations are facing today… is not that they have a lack of experimentation in the demo aspect. The challenge is they don't know how to take those demos to production, and that is where I saw the gap.” - Shub Agarwal “I do think data is the fuel for AI… But I think today organizations are crippled by this ‘fix your data, and then we'll build AI', and they never build AI. They never build use cases that are adding value.” - Shub Agarwal “There's no FICO scores for models, so I decided to create one. I built this lab… bringing the computer scientists, the researchers, the applied AI researchers, the policy, and the communication people together to think of what is trust, define it, and ultimately measure and evaluate it.” - Shub Agarwal Mentions USC AI Trust Hub Successful AI Product Creation: A Nine-Step Framework by Shub Agarwal Four Steps to Epiphany: Successful Strategies for Products That Win by Steve Blank Masters of Scale podcast with Reid Hoffman Guest Bios  Shub Agarwal is an associate professor of professional practice at the University of Southern California, an industry executive, and an advisor to start-ups and academic institutions. He holds an MBA from the University of California, Los Angeles (UCLA), and an MS from Carnegie Mellon University (CMU). He is the author of two books: Solve Catch-22 of Product Management and Successful AI Product Creation: A 9-Step Framework. He has made significant contributions to the fields of artificial intelligence and machine learning, holding several U.S. and global patents for his work, and is also a published author of several technical research papers. With around two decades of extensive experience in product management and leadership, his journey has been marked by a relentless pursuit of leveraging AI technologies to create impactful products that redefine industry standards. His industry experience includes leadership roles at Amazon, Silicon Valley start-ups, and other Fortune 50 firms. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

In this Watson Weekly interview episode, Rick Watson is joined by Lennart Stevens, VP of Product Management for Agentforce Commerce at Salesforce, who walks through Storefront Next, the latest evolution of Salesforce's commerce storefront.Storefront Next is built for developers and for a world where AI and agentic coding are the default. You can spin up a new storefront inside Business Manager with a click-based setup. Under the hood it runs on Salesforce's Managed Runtime as a hosted headless surface, with an enhanced SCAPI layer that lets apps, kiosks, and other channels pull from the same data. The stack standardizes on React, Shadcn, and Tailwind. Existing customers keep their catalogs, prices, and promotions and surface them through the new API.The Watson Weekly interview is sponsored by Avalara - the agentic AI platform automating global tax and compliance for leading eCommerce brands. For more details: https://avalaratax.watsonweekly.com.Lennart also gets into the agentic tooling (agent shopper, agentic merchandising), quiet AI like product readiness scores that flag missing info without nagging, reusable content blocks and embedded Page Designer components, and turnkey industry templates for retail, cosmetics, and furniture that convert well out of the box. He covers the upgraded CLI, the growing library of skills, and support for UCP as the channel-selling standard.The whole point: cut the standup busywork so developers spend time on what actually moves the business.#watsonweekly #agentforce #storefrontnext #agentic

Justin Bowman had a dream his son would be autistic before the boy was born. Years later, after his son Sawyer was diagnosed with level 1 autism, Justin did what a lot of dads only wish they could do. He built something to help. Justin is back for a deeper dive than his Seen and Heard episode earlier this season. He's the founder and CEO of VizyPlan, a visual routine and planning app he built for Sawyer and then opened to the whole neurodivergent community. Rob and Justin go deep on the dad-as-fixer instinct, what actually comes after an autism diagnosis, and why you can't fix autism but you can support your kid. What you'll hear: - The dream Justin had before Sawyer was born - Why waiting on evaluation results feels like waiting on the SATs - The fixer instinct dads struggle with, and a healthier reframe - The grocery-store meltdowns that inspired VizyPlan - The moment Sawyer saw himself as the hero character and it clicked - How VizyPlan handles IEP transcription, social stories, visual schedules, and advocacy - Why one app beats juggling six - Privacy: VizyPlan does not train its models on your child's data "I would have paid any amount of money to help him. Any amount of money." Justin Bowman Try VizyPlan: 30-day free trial with code theautismdad at vizyplan.com/app. Just $9.99 a month for your whole family. About Justin: Justin Bowman is the founder and CEO of VizyPlan and Associate Director of Product Management at Chewy. Based in Cambridge, Massachusetts, he's a varsity hockey coach and autism dad. He and his wife Danielle, a speech-language pathologist, have two kids: Sawyer, turning six and diagnosed level 1 autism, and Peyton, four. Sponsors this week: This episode is presented by Best Part Kids, a sensory-friendly multivitamin for selective eaters created by dietitian Brittyn Coleman. Use code THEAUTISMDAD for 10% off at BestPartKids.com. Mightier emotional-regulation games (code theautismdad22, mightier.com) About Rob: Rob Gorski is the founder of The Autism Dad, a blog and podcast dedicated to supporting parents raising kids on the autism spectrum. As a dad of three autistic sons with over 25 years of experience, Rob brings lived experience, honesty, and heart to every conversation. My book, So Your Child Was Just Diagnosed with Autism is out on Dec. 29, 2026. Updates and preorder: theautismdad.com/book You can find me at theautismdad.com, on Facebook, Instagram, and TikTok at The Autism Dad, and on YouTube at The Autism Dad. New episodes drop every week at listen.theautismdad.com.

Marc-Antoine Juanéda is Director of Product Management at Cotality Real Estate Solutions, overseeing industry-leading products such as Matrix, MLS-Touch, and Prospects CRM, used by over 1.2 million real estate professionals across North America. After his stage presentation at Recharge 2026, he sat down with Alex to share what's to come for Cotality and the future of real estate tech now that A.I. is becoming ubiquitous.

This conversation with Gil Broza goes straight at a question many product leaders are quietly wrestling with: how do you bring AI into product development without breaking everything that already works? Gil, author, coach, and long-time agility expert, returns to talk with Matt and Moshe about “reshaping product development for AI's impact,” focusing not on building AI features, but on how AI is changing the way product and engineering teams work day to day. He argues that while AI massively increases speed and output, it doesn't change the fundamentals of good product development: clear direction, evidence-based judgment, solid technical foundations, and healthy teams. Join Matt and Moshe as they explore with Gil: - Why AI is a “turbo engine in a car with old brakes” if you drop it into a system designed for human speed. - How leaders confuse more output with more value, and why faster code can just mean “legacy code years ahead of schedule”. - The difference between real agility and “performative Agile” (ceremonies, Jira theater) when AI tools are doing more of the work. - How to think in systems: what you're actually optimizing for (predictability, innovation, time-to-value) and how AI changes the constraints and feedback loops in your org. - Practical blind spots leaders miss with AI adoption: - Treating AI as an implementation, not a transformation - Ignoring cognitive load and burnout when people work all day with agents - Shrinking teams for “efficiency” and accidentally increasing isolation - The three main ways to use AI in product development, and why you should be explicit about each: - As a pairing partner (thinking, coding, design) - As an autonomous agent - As “just” automation (summaries, note-taking, etc.) - Why skipping prototyping and experiments is now “less excusable” when AI can create testable prototypes in hours instead of weeks. - What changes (and doesn't) in roles like PM, engineer, and scrum master when AI becomes a real team member. - Concrete steps leaders can take: apply systems thinking, revisit mindset and values, redesign ways of working for AI-speed conditions, and invest in continuous improvement again. - How Gil's new courses (“Reshaping Product Development for AI's Impact” and “Leading AI-Enabled Product Teams”) help product and engineering leaders do this work intentionally. Want to go deeper or work with Gil? - Website & courses: https://3pvantage.com/  - Newsletter & articles: https://3pvantage.com/subscrib.../  - LinkedIn: https://www.linkedin.com/in/gi.../  You can also connect with us and find more episodes: - Product for Product Podcast: http://linkedin.com/company/pr...-podcast  - Matt Green: https://www.linkedin.com/in/ma... - Moshe Mikanovsky: http://www.linkedin.com/in/mikanovsky  Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way. Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

Six companies, seven days, same playbook. Welcome to the modern age where the excuses are interchangeable, the points don't matter, and ALL the strategies are not-so-secretly the same! Listen or watch as Product Manager Brian Orlando and Enterprise Business Agility Leader Om Patel talk through this month's round of layoffs and expose why Cloudflare's AI-first cuts and Fidelity's RTO-to-layoff pipeline aren't strategic decisions at all!What Brian and Om get into:Why Cloudflare cut 1,100 workers the same day they reported 34% revenue growthHow mimetic isomorphism drives CEO herd behaviorIncentive structures that reward confident memosWhy your sprint reviews, OKRs, and retro actions MIGHT be running the same playA diagnostic for catching yourself performing response instead of executing changeBy the end of this episode, you'll be spotting these announcement-as-strategy patterns in real time, maybe even in your own meetings!#CorporateStrategy #TechLayoffs #ProductManagementCloudflare, Fidelity, Coinbase, Meta, Microsoft, Harris School at University of Chicago, Marty CaganLINKSYouTube: https://youtu.be/VTA_y38MXu8Spotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

In this episode of The Purposeful Banker, Nicholas Koutouras, VP of Product Management for Q2's Relationship Pricing and Profitability business, discusses why repeated late saves can signal deeper drift inside a bank and how disciplined banks create consistency to help teams spot issues earlier and make steadier decisions. Related Links [Playbook] Beyond Pricing. Disciplined Performance. Real Impact. [LinkedIn] Nicholas Koutouras

Today, we're joined by Bill Hewitt, CEO of LinkSquares, the first and only Agentic CLM platform that transforms contracts into active drivers for your business. We talk about:If agentic AI can already replace traditional software If AI will lead to SaaS companies reducing workforceAdvice for SaaS startups to stay relevant and growIf building a software business is getting easierThe rising value of product managementHow AI impacts marketing and the product selection process

Eric Ries wrote The Lean Startup — a book that has sold over 2 million copies and reshaped how a generation of founders and product teams build products. Fifteen years later, he's back with a new book, Incorruptible, and a harder question: not how to build a great company, but how to keep it that way.What you'll learn:Why the forces destroying great companies are structural, not moral — and what that means for how you buildHow Saul Price built FedMart, and Costco's Jim Sinegal each solved half the problem, and why you need both halvesHow Anthropic used a purpose trust structure, the Long-Term Benefit Trust, to protect its safety mission from investor pressureWhy values on the wall fail and what the Johnson & Johnson asbestos scandal reveals about how incentives quietly overwrite principlesHow builders at any level of an organization can start influencing governance without a title or authorityKey takeaways:Success makes you a target: the more valuable your company becomes, the more pressure it faces to betray the mission that made it valuableEthos is the real moat: the intangible system of principles that makes a company trustworthy is harder to copy than any product or contractGovernance is not a legal formality; it is the active, ongoing practice of protecting what you built from the forces that will try to extract itCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Eric RiesSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Andrew is joined by Jimmy Lin from ADT who shares the insider story behind ADT's new DIY-focused Blu system—an easy-to-install, smart security kit designed for the modern homeowner. We break down how ADT may leverage open standards like Matter and Z-Wave, aiming to unify the smart home ecosystem and finally bridge the gap between security and automation.You'll uncover:How ADT's innovative products like the new Live Light smart sign and color night-vision cameras empower homeowners to be proactive rather than reactive.The role of AI and sensor fusion, like Wi-Fi and activity zone detection, in predicting threats before they happen.Why a focus on privacy, seamless integration, and ease of use is transforming the DIY security market.The strategic move into open protocols to create a more connected, interoperable smart home landscape.What's next for ADT: The possibility of introducing scene automation, smart home triggers, and voice command support like Siri shortcuts to truly integrate security with daily life.Jimmy Lin is VP of Product Management at ADT, steering innovations that bridge the gap between trusted home security and intelligent automation. With extensive experience in consumer electronics and AI-powered products—from GoPro cameras to AR glasses—Jimmy brings a keen eye for transforming classic brands into future-ready powerhouses.This episode is packed with actionable insights and future trends that will shape your smart home strategy. Perfect for tech lovers, security pros, and anyone eager to stay ahead of the curve. Don't miss out—hit play now and discover how ADT is redefining what home security can be.Send me your smart home questions and recommendations with the hashtag #SmartHomeInsider. Tweet and follow your host at:@andrew_osu on Twitter@andrewohara941 on ThreadsEmail me hereSponsored by:Shopify: Sign up for a one-dollar-per-month trial period at shopify.com/homekit!Copilot Money:  Limited-time: Get two months free when you sign up at copilot.money/smarthome and use coupon code SMARTHOME!Smart Home Insider YouTube ChannelSubscribe to the Smart Home Insider YouTube Channel and watch our episodes every week! Click here to subscribe.Links from the showGovee TV Backlight 3Govee G25 Filament BulbBose Lifestyle LineupBlu by ADTThose interested in sponsoring the show can reach out to us at: andrew@appleinsider.com

In this episode, host Andrew Pla sits down with Mark Littlefield, VP of Product at PDQ, for a wide-ranging conversation about product management, the PowerShell community, and what it looks like to deeply learn a technical domain when you're not coming from a traditional sysadmin background. Mark shares his journey from tech support to product management, what drew him to PDQ and the challenges facing IT admins, and what surprised him about PowerShell once he started paying close attention. The two also dig into the history behind PDQ Connect's PowerShell Scanner, how product teams learn from customers, the art of storytelling as a PM and sysadmin skill, and more. Key Takeaways: Product management and PowerShell automation share a core philosophy: solve problems at the root, not just on the surface. Whether you're writing a script or building a feature, the goal is to eliminate a challenge entirely rather than patch around it. Understanding your customer requires more than data — it requires immersion. Mark describes going deep into the sysadmin world through customer interviews, internal usage, and community engagement to truly understand the problems facing IT teams. Great storytelling is a transferable skill. Andrew draws a parallel between how Jeffrey Snover used the Monad Manifesto to get internal buy-in at Microsoft and how to use narrative to align teams and push ideas forward. Guest Bio: Mark Littlefield is the VP of Product at PDQ, where he leads product strategy and development for PDQ Connect and the broader PDQ product suite. With over 15 years of product management experience, Mark previously served as VP of Product Management at InsideSales.com, where he oversaw product management and design across the platform. He holds a Bachelor of Science in Information Systems with a focus on Business Intelligence from Utah Valley University and is based in Salt Lake City, Utah. Resource Links: PowerShell Event: https://www.pdq.com/save-time-with-powershell-pdq-connect/ PDQ Connect: https://www.pdq.com/pdq-connect/ PDQ PowerShell Scanners GitHub repository: https://github.com/pdqcom/PowerShell-Scanners The Monad Manifesto (Microsoft Learn): https://learn.microsoft.com/en-us/powershell/scripting/developer/monad-manifesto?view=powershell-7.5 Monad Manifesto blog post by Jeffrey Snover: https://devblogs.microsoft.com/powershell/monad-manifesto-the-origin-of-windows-powershell/ Mark Littlefield on LinkedIn: https://www.linkedin.com/in/mark-littlefield/ Connect with Andrew: https://andrewpla.tech/links PDQ Discord: https://discord.gg/pdq The PowerShell Podcast on YouTube: https://youtu.be/fo2V5LC-EZo  

At Google I/O 2026, Phillip sits down with Suresh Ganapathy, Senior Director of Product Management for Consumer Shopping at Google, to unpack the day's announcements: Universal Commerce Protocol's expansion into new verticals, agentic payments arriving in Gemini Spark, and the debut of Universal Cart. We trace what these foundational pieces mean for how a billion daily shoppers, and the merchants serving them, will operate in an agent-mediated economy. Enter the Delegation Era Key Takeaways: Universal Cart maintains shopper state across Search, Gemini, YouTube, and Gmail. The cart works on your behalf: tracking prices, flagging restocks, and catching product incompatibilities. Agent Payments Protocol's (AP2) tamper-proof contracts make agent purchases verifiable and accountable to shopper intent. Merchants remain seller of record, preserving customer relationships inside agentic flows. Gemini Spark becomes Google's first consumer agent with purchasing authority this fall. Key Quotes: "We're laying the foundational building blocks of agentic commerce." — Suresh Ganapathi "People come to shop at Google over a billion times a day, and we want to make sure that we're delivering the best experience to them when they do." — Suresh Ganapathi "We want to make it really simple for shoppers to enjoy the fun parts of shopping and then delegate some of these more tedious aspects to agents." — Suresh Ganapathi "Spark is the agent. AP2 is the payments protocol. Universal Cart is the ability for consumers to have less friction." — Phillip Further Reading: More on Google's AI play: Insiders: Google Solidifies Its Place in the AI Race More on agent-mediated commerce: Member Brief: Agentic Commerce and the eCommerce Site's New Existential Crisis Our 2026 Predictions: The Age of Autonomy Learn more about Google I/O Google's Universal Cart Announcement Our Links: Check out Future Commerce on YouTube Check out Future Commerce Plus for exclusive content and save on merch and print Subscribe to Insiders and The Senses to read more about what we are witnessing in the commerce world Listen to our other episodes of Future Commerce Have any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Liz's guest Jim Chi is President of Oregon Sports Angels. This week, two of the company founders that he advises are on Shark Tank. So exciting for these two college seniors with a patent in materials science! Jim can't share the result yet (we had to bleep put him out at one point) but Tanvi and Madhav sent a great audio message describing the behind-the-scenes vibe at the Shark Tank taping. Congratulations to Tanvi Gadamsetti and Madhav Aggarwal of BRCE. More here on LinkedIn. More here on BRCE Shop. WATCH SHARK TANK March 4, 10PM ET on ABC.On the episode, Jim talks about how after years as a leader in Product Management and Global Sourcing, he had not intended to focus on advising/mentoring/investing in new founders. Liz Dolan is also a founding member of Oregon Sports Angels and shares her perspective on advising young founders. Oregon Sports Angels is the only angel investing organization in the US devoted exclusively to sports.For HOMEWORK, Jim recommends Edge: Turning Adversity into Advantage by Laura Huang. Sponsor:Welcome to our new sponsor Stanford Federal Credit Union. To use their $625 New Member offer, go to sfcu.org/liznessIf you are new to Lizness School, we suggest you listen to Season 1 to hear all about Liz's year as a Stanford Fellow. Everything from Neuroscience and Chinese History to Pickleball! Plus a great community experience with her fellow DCI Fellows.Season 2 is about how she puts her lessons to work in the wild with the help of her millennial mentor Leah Sutherland.To listen to Liz +. Leah's recap of Lizness School Season 1, go to our FINALE here.For more on Liz Dolan, go to ⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠For more on Liz's work in podcasting, go to ⁠⁠⁠⁠Satellite Sisters⁠⁠⁠⁠Follow Lizness School on all podcasting platforms including ⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠ and ⁠⁠⁠⁠Spotify.⁠⁠⁠⁠On Instagram, follow the show at ⁠⁠⁠⁠https://www.instagram.com/liznessschool/⁠⁠⁠⁠ and follow Liz at ⁠⁠⁠⁠https://www.instagram.com/satellitesisterliz/⁠⁠⁠⁠.Follow Producer and Millennial Mentor Leah Sutherland @leahhsutherlandd on Instagram and Leah Sutherland on LinkedIn. To email Lizness School with your own voice memos/questions/thoughts/suggestions for Liz or Leah, use ⁠⁠⁠⁠liznessschool@gmail.comThe Distinguished Careers Institute is a unique program for late career people. Fellows are graduate students at Stanford University, able to take classes in any area. ⁠⁠⁠⁠Complete information here.⁠⁠⁠⁠Email the podcast ⁠⁠⁠⁠liznessschool@gmail.com ⁠See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.